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Google DeepMind Launches AlphaGenome Atlas Database

TechFlow 深潮 ·

Google DeepMind has introduced AlphaGenome Atlas, an AI-powered, searchable database designed to map the predicted impacts of approximately 9 billion single-base DNA variants. With a data volume of 1 PB, the database is over 30 times larger than the AlphaFold database. It aims to assist researchers in linking genetic variations to molecular mechanisms, such as gene regulation or RNA splicing. The platform includes the AlphaGenome Variant Impact (AVI) score to rank mutations by severity and will be accessible via the Atlas website, API, and Google Cloud.

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